Since building and choosing a model can be time-consuming, there is also automated machine learning (AutoML) to consider. AutoML helps to pre-process data, choose a model, and hyperparameter tune. Open source machine learning libraries offer collections of pre-made models and components that developers can use to build their own applications, instead of having to code from scratch. When you’re ready to get started with machine learning tools it comes down to the Build vs. Buy Debate. If you have a data science and computer engineering background or are prepared to hire whole teams of coders and computer scientists, building your own with open-source libraries can produce great results. Building your own tools, however, can take months or years and cost in the tens of thousands.
An Introduction to Machine Learning
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